JTO Clinical and Research Reports (Dec 2022)

Genomic Profiling Identifies Putative Pathogenic Alterations in NSCLC Brain Metastases

  • Marcin Nicoś, PhD,
  • Luuk Harbers, MSc,
  • Enrico Patrucco, PhD,
  • Maximilian Kramer-Drauberg, PhD,
  • Xiaolu Zhang, PhD,
  • Claudia Voena, PhD,
  • Anna Kowalczyk, MD, PhD,
  • Aleksandra Bożyk, PhD,
  • Rafał Pęksa, MD, PhD,
  • Bożena Jarosz, MD, PhD,
  • Justyna Szumiło, MD,
  • Michele Simonetti, PhD,
  • Monika Żuk, PhD,
  • Bartosz Wasąg, MD,
  • Katarzyna Reszka, PhD,
  • Renata Duchnowska, MD,
  • Janusz Milanowski, MD,
  • Roberto Chiarle, MD,
  • Magda Bienko, PhD,
  • Paweł Krawczyk, MD,
  • Jacek Jassem, MD,
  • Chiara Ambrogio, PhD,
  • Nicola Crosetto, MD, PhD

Journal volume & issue
Vol. 3, no. 12
p. 100435

Abstract

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Introduction: Brain metastases (BM) severely affect the prognosis and quality of life of patients with NSCLC. Recently, molecularly targeted agents were found to have promising activity against BM in patients with NSCLC whose primary tumors carry “druggable” mutations. Nevertheless, it remains critical to identify specific pathogenic alterations that drive NSCLC-BM and that can provide novel and more effective therapeutic targets. Methods: To identify potentially targetable pathogenic alterations in NSCLC-BM, we profiled somatic copy number alterations (SCNAs) in 51 matched pairs of primary NSCLC and BM samples from 33 patients with lung adenocarcinoma and 18 patients with lung squamous cell carcinoma. In addition, we performed multiregion copy number profiling on 15 BM samples and whole-exome sequencing on 40 of 51 NSCLC-BM pairs. Results: BM consistently had a higher burden of SCNAs compared with the matched primary tumors, and SCNAs were typically homogeneously distributed within BM, suggesting BM do not undergo extensive evolution once formed. By comparing focal SCNAs in matched NSCLC-BM pairs, we identified putative BM-driving alterations affecting multiple cancer genes, including several potentially targetable alterations in genes such as CDK12, DDR2, ERBB2, and NTRK1, which we validated in an independent cohort of 84 BM samples. Finally, we identified putative pathogenic alterations in multiple cancer genes, including genes involved in epigenome editing and 3D genome organization, such as EP300, CTCF, and STAG2, which we validated by targeted sequencing of an independent cohort of 115 BM samples. Conclusions: Our study represents the most comprehensive genomic characterization of NSCLC-BM available to date, paving the way to functional studies aimed at assessing the potential of the identified pathogenic alterations as clinical biomarkers and targets.

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